Essays about: "stereo vision"

Showing result 26 - 30 of 66 essays containing the words stereo vision.

1. 26. Domain-Independent Moving Object Depth Estimation using Monocular Camera

   University essay from KTH/Robotik, perception och lärande, RPL

   Author : Cesar Nassir; [2018]
   Keywords : Robotics; Deep Learning; Computer Vision; Depth Estimation;

   Abstract : Today automotive companies across the world strive to create vehicles with fully autonomous capabilities. There are many benefits of developing autonomous vehicles, such as reduced traffic congestion, increased safety and reduced pollution, etc. To be able to achieve that goal there are many challenges ahead, one of them is visual perception. READ MORE

3. 27. Stereo Camera Calibration Accuracy in Real-time Car Angles Estimation for Vision Driver Assistance and Autonomous Driving

   University essay from Umeå universitet/Institutionen för fysik

   Author : Björn Algers; [2018]
   Keywords : Stereo camera; camera calibration; pnp-problem; laser metrology; Monte Carlo simulations; uncertainty estimation; camera pose estimation; measurement system; von-mises simulations; circular statistics;

   Abstract : The automotive safety company Veoneer are producers of high end driver visual assistance systems, but the knowledge about the absolute accuracy of their dynamic calibration algorithms that estimate the vehicle’s orientation is limited. In this thesis, a novel measurement system is proposed to be used in gathering reference data of a vehicle’s orientation as it is in motion, more specifically the pitch and roll angle of the vehicle. READ MORE

4. 28. Correspondence-based pairwise depth estimation with parallel acceleration

   University essay from Mittuniversitetet/Avdelningen för informationssystem och -teknologi

   Author : Nadine Bartosch; [2018]
   Keywords : Depth estimation; disparity; stereo vision; stereo correspondence; NVIDIA; GPU; CUDA; parallelization;

   Abstract : This report covers the implementation and evaluation of a stereo vision corre- spondence-based depth estimation algorithm on a GPU. The results and feed- back are used for a Multi-view camera system in combination with Jetson TK1 devices for parallelized image processing and the aim of this system is to esti- mate the depth of the scenery in front of it. READ MORE

5. 29. Infrared image-based modeling and rendering

   University essay from Uppsala universitet/Avdelningen för visuell information och interaktion

   Author : Oskar Wretstam; [2017]
   Keywords : scene reconstruction; structure from motion; multi-view stereo; image-based modeling; infrared thermography; infrared images; computer vision;

   Abstract : Image based modeling using visual images has undergone major development during the earlier parts of the 21th century. In this thesis a system for automated uncalibrated scene reconstruction using infrared images is implemented and tested. An automated reconstruction system could serve to simplify thermal inspection or as a demonstration tool. READ MORE

6. 30. Deep Convolutional Neural Networks for Real-Time Single Frame Monocular Depth Estimation

   University essay from Uppsala universitet/Avdelningen för systemteknik

   Author : Jacob Schennings; [2017]
   Keywords : deep learning; machine learning; mono vision system; lightweight; CNN; convolutional neural network; depth estimation; lidar; kitti; vehicle camera; mono camera; camera; real-time; real time; ad; autonomous driving; adas; advanced driver assistance systems; mono depth; computer vision; regression; pixel-wise; pixel wise; object detection; general object detection; pedestrian detection; vehicle detection; supervised learning; supervised; tensorflow; python; keras; opencv; autoliv;

   Abstract : Vision based active safety systems have become more frequently occurring in modern vehicles to estimate depth of the objects ahead and for autonomous driving (AD) and advanced driver-assistance systems (ADAS). In this thesis a lightweight deep convolutional neural network performing real-time depth estimation on single monocular images is implemented and evaluated. READ MORE